Continuous authentication Algorithms Based on Keystroke Dynamics (Applied on The Most Frequently Used Arabic Words In E-Mail Messages)
Abstract
Most computer systems rely on the static user authentication which does not guarantee that whoever uses the system is the same one from the moment of login to the moment of logout, so, we need to have an authentication system that can verify whether the user has been changed or not, after the login is made. For this reason, the continuous authentication of various methods has been emerged to bridge this gap. The dynamic key of continuous authentication is one of these methods that can be easily applied in many aspects. The purpose of this paper is to examine the effectiveness of applying one of the continuous authentication algorithms to the user based on the dynamic of Arabic Language Keystroke for the development of security systems in the future. In this study, the algorithm has been applied to the most frequently used Arabic words in e-mail, where four of the timing characteristics were used to extract the features of the typing style of users on the keyboard. To classify users’ data, a measure of distance from the statistical approach, which is the Euclidean distance measure, was used. The results have shown that it is possible to authenticate users using continuous authentication based on the dynamics of the Arabic Language keys.
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References
[1]-Dina El Menshawy, Hoda Mokhtar, and Osman Hegazy, A Keystroke Dynamics Based Approach for Continuous Authentication, Springer International Publishing Switzerland 2014.
[2]-Patrick Bours and Hafez Barghouthi, Continuous Authentication using Biometric Keystroke Dynamics, The Norwegian Information Security Conference (NISK) 2009.
[3]-Tiago Oliveira, Improving Web Authentication with Keystroke Dynamics , Masters thesis in Computer Engineering -IT department -Do Minho University 2014.
[4]-Fred Rundhaug, Keystroke dynamics Can attackers learn someone’s typing characteristics, Master thesis in Information Security -Department of Computer Science and Media Technology -Gjøvik University College 2007.
[5]-Patrick Bours and Soumik Mondal, Recent Advances in User Authentication Using Keystroke Dynamics Biometrics, Science Gate Publishing 2015
[6]-Eesa Alsolami, An Examination of Keystroke Dynamics For Continuous User Authentication, PhD thesis -Information Security Institute -Science and Engineering Faculty -Queensland University of Technology 2012
[7]-Jonathan Ness, Presentation Attack and Detection in Keystroke Dynamics, Master thesis in Information Security -Department of Information Security and Communication Technology -Norwegian University of Science and Technology 2017.
[8]-Pin Shen Teh,Andrew Jin Teoh and Shigang Yue, A Survey of Keystroke Dynamics Biometrics, The Scientific World Journal Volume 2013, Article ID 408280, 24 pages.
[9]-Romain Giot, Mohamad El-Abed and Christophe Rosenberger, Fast computation of the performance evaluation of biometric systems: application to multibiometric, Future Generation Computer Systems (FGCS).
[10]-Pin Teh, Andrew Jin Teoh and Shigang Yue , A Survey of Keystroke Dynamics Biometrics, Hindawi Publishing Corporation -The Scientific World Journal 2013.
[11]-K. G. Srinivasa and Soumya Gosukonda, Continuous multimodal user authentication: coupling hard and soft biometrics with support vector machines to attenuate noise, CSIT 2014.
[12]-Issa Traoré and Ahmed Awad , Continuous Authentication Using Biometrics: Data, Models, and Metrics: Data, Models, and Metrics, Published in the United States of America by Information Science Reference (an imprint of IGI Global) 2012.[13] Yu Zhong, Yunbin Deng and Anil Jain, Keystroke Dynamics for User Authentication,
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